Main Article Content
This work introduces a systematic review of state-of-the-art studies about enhancing the blood banks systems based on modern and smart technologies in line with the healthcare sector development, such as artificial intelligence, the Internet of things, blockchain, cloud computing, as well as machine learning, novel Multiple criteria decision-making (MCDM) method, and a fuzzy stochastic programming approach, all used to cover issues in the blood banks. Then, taxonomy has been built to group articles according to their motivations, objectives, and challenges. The search has been conducted in four major databases: IEEE Xplore, Science Direct, Springer, and PubMed. The final sets were included 54. Most articles (22 out of 54) about blood bank systems: computer and mobile-based blood bank systems(13), blood donor searching systems(5), and Internet of Things-based blood banks(4). Reviews (12 out of 54) have discussed the importance of smart technologies in blood donations. Studies (15 out of 54) have included various analyses about inventory issues with blood/platelet supply chain networks problems in disasters. Meanwhile, few articles (5) have presented devices to detect blood groups and measure viscosity in an easy, cost-effective way. This work also has provided an overview of the recent contributions in blood banks mechanisms from 2017 to 2021 facilitating the donation in difficult situations, monitoring blood inventory. Besides, has highlighted the weaknesses in medical care techniques in developing countries suffering from disasters, diseases, and wars. On the other hand, how some limitations in such applications need to take more seriously ex: security, and privacy, older people may face problems in operating, as well as internet and power connectivity which are the main worries. We anticipate that this systematic review can help other researchers grasp the available concepts and gaps so that they can subsequently add to this type of research.